Abstract:
Internet of Things (IoT) technology is the key enabler of the future with a massive number of connected devices. With the evolution of Machine Type Communications (MTC), ...Show MoreMetadata
Abstract:
Internet of Things (IoT) technology is the key enabler of the future with a massive number of connected devices. With the evolution of Machine Type Communications (MTC), the number of MTC devices in mobile networks is increasing rapidly to support IoT services. The massive number of short and bursty sessions introduced by MTC devices may result in congestion and system overload impacting human to human (H2H) communications in mobile networks. To study the overall network performance for the future scenarios to come, a flexible traffic model based on practical data is necessary. Unfortunately, scalable and realistic MTC traffic data is inaccessible in most cases. In this work, we propose a hybrid traffic framework by integrating open big data and MTC traffic models. The generated MTC traffic is based on geo-referenced H2H activities and can be used to help assessing mobile network performance.
Published in: 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)
Date of Conference: 26-30 June 2017
Date Added to IEEE Xplore: 20 July 2017
ISBN Information:
Electronic ISSN: 2376-6506